32539 71 ? 287372 Doctorate 16
32540 45 State-gov 252208 HS-grad 9
32541 41 ? 202822 HS-grad 9
32542 72 ? 129912 HS-grad 9
32543 45 Local-gov 119199 Assoc-acdm 12
32544 31 Private 199655 Masters 14
32545 39 Local-gov 111499 Assoc-acdm 12
32546 37 Private 198216 Assoc-acdm 12
32547 43 Private 260761 HS-grad 9
32548 65 Self-emp-not-inc 99359 Prof-school 15
32549 43 State-gov 255835 Some-college 10
32550 43 Self-emp-not-inc 27242 Some-college 10
32551 32 Private 34066 10th 6
32552 43 Private 84661 Assoc-voc 11
32553 32 Private 116138 Masters 14
32554 53 Private 321865 Masters 14
32555 22 Private 310152 Some-college 10
32556 27 Private 257302 Assoc-acdm 12
32557 40 Private 154374 HS-grad 9
32558 58 Private 151910 HS-grad 9
32559 22 Private 201490 HS-grad 9
32560 52 Self-emp-inc 287927 HS-grad 9
marital_status occupation relationship \
0 Never-married Adm-clerical Not-in-family
1 Married-civ-spouse Exec-managerial Husband
2 Divorced Handlers-cleaners Not-in-family
3 Married-civ-spouse Handlers-cleaners Husband
4 Married-civ-spouse Prof-specialty Wife
5 Married-civ-spouse Exec-managerial Wife
6 Married-spouse-absent Other-service Not-in-family
7 Married-civ-spouse Exec-managerial Husband
8 Never-married Prof-specialty Not-in-family
9 Married-civ-spouse Exec-managerial Husband
10 Married-civ-spouse Exec-managerial Husband
11 Married-civ-spouse Prof-specialty Husband
12 Never-married Adm-clerical Own-child
13 Never-married Sales Not-in-family
14 Married-civ-spouse Craft-repair Husband
15 Married-civ-spouse Transport-moving Husband
16 Never-married Farming-fishing Own-child
17 Never-married Machine-op-inspct Unmarried
18 Married-civ-spouse Sales Husband
19 Divorced Exec-managerial Unmarried
20 Married-civ-spouse Prof-specialty Husband
21 Separated Other-service Unmarried
22 Married-civ-spouse Farming-fishing Husband
23 Married-civ-spouse Transport-moving Husband
24 Divorced Tech-support Unmarried
25 Married-civ-spouse Tech-support Husband
26 Never-married Craft-repair Own-child
27 Married-civ-spouse ? Husband
28 Divorced Exec-managerial Not-in-family
29 Married-civ-spouse Craft-repair Husband
... ... ... ...
32531 Never-married ? Not-in-family
32532 Married-civ-spouse Prof-specialty Husband
32533 Married-civ-spouse Exec-managerial Husband
32534 Divorced Adm-clerical Unmarried
32535 Never-married Protective-serv Own-child
32536 Never-married Exec-managerial Not-in-family
32537 Never-married Craft-repair Not-in-family
32538 Divorced Prof-specialty Unmarried
32539 Married-civ-spouse ? Husband
32540 Separated Adm-clerical Own-child
32541 Separated ? Not-in-family
32542 Married-civ-spouse ? Husband
32543 Divorced Prof-specialty Unmarried
32544 Divorced Other-service Not-in-family
32545 Married-civ-spouse Adm-clerical Wife
32546 Divorced Tech-support Not-in-family
32547 Married-civ-spouse Machine-op-inspct Husband
32548 Never-married Prof-specialty Not-in-family
32549 Divorced Adm-clerical Other-relative
32550 Married-civ-spouse Craft-repair Husband
32551 Married-civ-spouse Handlers-cleaners Husband
32552 Married-civ-spouse Sales Husband
32553 Never-married Tech-support Not-in-family
32554 Married-civ-spouse Exec-managerial Husband
32555 Never-married Protective-serv Not-in-family
32556 Married-civ-spouse Tech-support Wife
32557 Married-civ-spouse Machine-op-inspct Husband
32558 Widowed Adm-clerical Unmarried
32559 Never-married Adm-clerical Own-child
32560 Married-civ-spouse Exec-managerial Wife
race sex capital_gain capital_loss \
0 White Male 2174 0
1 White Male 0 0
2 White Male 0 0
3 Black Male 0 0
4 Black Female 0 0
5 White Female 0 0
6 Black Female 0 0
7 White Male 0 0
8 White Female 14084 0
9 White Male 5178 0
10 Black Male 0 0
11 Asian-Pac-Islander Male 0 0
12 White Female 0 0
13 Black Male 0 0
14 Asian-Pac-Islander Male 0 0
15 Amer-Indian-Eskimo Male 0 0
16 White Male 0 0
17 White Male 0 0
18 White Male 0 0
19 White Female 0 0
20 White Male 0 0
21 Black Female 0 0
22 Black Male 0 0
23 White Male 0 2042
24 White Female 0 0
25 White Male 0 0
26 White Male 0 0
27 Asian-Pac-Islander Male 0 0
28 White Male 0 0
29 White Male 0 0
... ... ... ... ...
32531 Asian-Pac-Islander Female 0 0
32532 White Male 0 0
32533 Asian-Pac-Islander Male 0 0
32534 White Female 0 0
32535 Black Male 0 0
32536 White Female 0 0
32537 Black Male 0 0
32538 Black Female 15020 0
32539 White Male 0 0
32540 White Female 0 0
32541 Black Female 0 0
32542 White Male 0 0
32543 White Female 0 0
32544 Other Female 0 0
32545 White Female 0 0
32546 White Female 0 0
32547 White Male 0 0
32548 White Male 1086 0
32549 White Female 0 0
32550 White Male 0 0
32551 Amer-Indian-Eskimo Male 0 0
32552 White Male 0 0
32553 Asian-Pac-Islander Male 0 0
32554 White Male 0 0
32555 White Male 0 0
32556 White Female 0 0
32557 White Male 0 0
32558 White Female 0 0
32559 White Male 0 0
32560 White Female 15024 0
hours_per_week native_country class
0 40 United-States <=50K
1 13 United-States <=50K
2 40 United-States <=50K
3 40 United-States <=50K
4 40 Cuba <=50K
5 40 United-States <=50K
6 16 Jamaica <=50K
7 45 United-States >50K
8 50 United-States >50K
9 40 United-States >50K
10 80 United-States >50K
11 40 India >50K
12 30 United-States <=50K
13 50 United-States <=50K
14 40 ? >50K
15 45 Mexico <=50K
16 35 United-States <=50K
17 40 United-States <=50K
18 50 United-States <=50K
19 45 United-States >50K
20 60 United-States >50K
21 20 United-States <=50K
22 40 United-States <=50K
23 40 United-States <=50K
24 40 United-States <=50K
25 40 United-States >50K
26 40 United-States <=50K
27 60 South >50K
28 80 United-States <=50K
29 40 United-States <=50K
... ... ... ...
32531 99 United-States <=50K
32532 60 United-States >50K
32533 50 Japan >50K
32534 39 United-States <=50K
32535 35 United-States <=50K
32536 55 United-States >50K
32537 46 United-States <=50K
32538 45 United-States >50K
32539 10 United-States >50K
32540 40 United-States <=50K
32541 32 United-States <=50K
32542 25 United-States <=50K
32543 48 United-States <=50K
32544 30 United-States <=50K
32545 20 United-States >50K
32546 40 United-States <=50K
32547 40 Mexico <=50K
32548 60 United-States <=50K
32549 40 United-States <=50K
32550 50 United-States <=50K
32551 40 United-States <=50K
32552 45 United-States <=50K
32553 11 Taiwan <=50K
32554 40 United-States >50K
32555 40 United-States <=50K
32556 38 United-States <=50K
32557 40 United-States >50K
32558 40 United-States <=50K
32559 20 United-States <=50K
32560 40 United-States >50K
[32561 rows x 15 columns]
age workclass fnlwgt education education_num \
0 39 State-gov 77516 Bachelors 13
1 50 Self-emp-not-inc 83311 Bachelors 13
2 38 Private 215646 HS-grad 9
3 53 Private 234721 11th 7
4 28 Private 338409 Bachelors 13
5 37 Private 284582 Masters 14
6 49 Private 160187 9th 5
7 52 Self-emp-not-inc 209642 HS-grad 9
8 31 Private 45781 Masters 14
9 42 Private 159449 Bachelors 13
10 37 Private 280464 Some-college 10
11 30 State-gov 141297 Bachelors 13
12 23 Private 122272 Bachelors 13
13 32 Private 205019 Assoc-acdm 12
14 40 Private 121772 Assoc-voc 11
15 34 Private 245487 7th-8th 4
16 25 Self-emp-not-inc 176756 HS-grad 9
17 32 Private 186824 HS-grad 9
18 38 Private 28887 11th 7
19 43 Self-emp-not-inc 292175 Masters 14
20 40 Private 193524 Doctorate 16
21 54 Private 302146 HS-grad 9
22 35 Federal-gov 76845 9th 5
23 43 Private 117037 11th 7
24 59 Private 109015 HS-grad 9
25 56 Local-gov 216851 Bachelors 13
26 19 Private 168294 HS-grad 9
27 54 ? 180211 Some-college 10
28 39 Private 367260 HS-grad 9
29 49 Private 193366 HS-grad 9
... ... ... ... ... ...
32531 30 ? 33811 Bachelors 13
32532 34 Private 204461 Doctorate 16
32533 54 Private 337992 Bachelors 13
32534 37 Private 179137 Some-college 10
32535 22 Private 325033 12th 8
32536 34 Private 160216 Bachelors 13
32537 30 Private 345898 HS-grad 9
32538 38 Private 139180 Bachelors 13
32539 71 ? 287372 Doctorate 16
32540 45 State-gov 252208 HS-grad 9
32541 41 ? 202822 HS-grad 9
32542 72 ? 129912 HS-grad 9
32543 45 Local-gov 119199 Assoc-acdm 12
32544 31 Private 199655 Masters 14
32545 39 Local-gov 111499 Assoc-acdm 12
32546 37 Private 198216 Assoc-acdm 12
32547 43 Private 260761 HS-grad 9
32548 65 Self-emp-not-inc 99359 Prof-school 15
32549 43 State-gov 255835 Some-college 10
32550 43 Self-emp-not-inc 27242 Some-college 10
32551 32 Private 34066 10th 6
32552 43 Private 84661 Assoc-voc 11
32553 32 Private 116138 Masters 14
32554 53 Private 321865 Masters 14
32555 22 Private 310152 Some-college 10
32556 27 Private 257302 Assoc-acdm 12
32557 40 Private 154374 HS-grad 9
32558 58 Private 151910 HS-grad 9
32559 22 Private 201490 HS-grad 9
32560 52 Self-emp-inc 287927 HS-grad 9
marital_status occupation relationship \
0 Never-married Adm-clerical Not-in-family
1 Married-civ-spouse Exec-managerial Husband
2 Divorced Handlers-cleaners Not-in-family
3 Married-civ-spouse Handlers-cleaners Husband
4 Married-civ-spouse Prof-specialty Wife
5 Married-civ-spouse Exec-managerial Wife
6 Married-spouse-absent Other-service Not-in-family
7 Married-civ-spouse Exec-managerial Husband
8 Never-married Prof-specialty Not-in-family
9 Married-civ-spouse Exec-managerial Husband
10 Married-civ-spouse Exec-managerial Husband
11 Married-civ-spouse Prof-specialty Husband
12 Never-married Adm-clerical Own-child
13 Never-married Sales Not-in-family
14 Married-civ-spouse Craft-repair Husband
15 Married-civ-spouse Transport-moving Husband
16 Never-married Farming-fishing Own-child
17 Never-married Machine-op-inspct Unmarried
18 Married-civ-spouse Sales Husband
19 Divorced Exec-managerial Unmarried
20 Married-civ-spouse Prof-specialty Husband
21 Separated Other-service Unmarried
22 Married-civ-spouse Farming-fishing Husband
23 Married-civ-spouse Transport-moving Husband
24 Divorced Tech-support Unmarried
25 Married-civ-spouse Tech-support Husband
26 Never-married Craft-repair Own-child
27 Married-civ-spouse ? Husband
28 Divorced Exec-managerial Not-in-family
29 Married-civ-spouse Craft-repair Husband
... ... ... ...
32531 Never-married ? Not-in-family
32532 Married-civ-spouse Prof-specialty Husband
32533 Married-civ-spouse Exec-managerial Husband
32534 Divorced Adm-clerical Unmarried
32535 Never-married Protective-serv Own-child
32536 Never-married Exec-managerial Not-in-family
32537 Never-married Craft-repair Not-in-family
32538 Divorced Prof-specialty Unmarried
32539 Married-civ-spouse ? Husband
32540 Separated Adm-clerical Own-child
32541 Separated ? Not-in-family
32542 Married-civ-spouse ? Husband
32543 Divorced Prof-specialty Unmarried
32544 Divorced Other-service Not-in-family
32545 Married-civ-spouse Adm-clerical Wife
32546 Divorced Tech-support Not-in-family
32547 Married-civ-spouse Machine-op-inspct Husband
32548 Never-married Prof-specialty Not-in-family
32549 Divorced Adm-clerical Other-relative
32550 Married-civ-spouse Craft-repair Husband
32551 Married-civ-spouse Handlers-cleaners Husband
32552 Married-civ-spouse Sales Husband
32553 Never-married Tech-support Not-in-family
32554 Married-civ-spouse Exec-managerial Husband
32555 Never-married Protective-serv Not-in-family
32556 Married-civ-spouse Tech-support Wife
32557 Married-civ-spouse Machine-op-inspct Husband
32558 Widowed Adm-clerical Unmarried
32559 Never-married Adm-clerical Own-child
32560 Married-civ-spouse Exec-managerial Wife
race sex capital_gain capital_loss hours_per_week \
0 White Male 2174 0 40
1 White Male 0 0 13
2 White Male 0 0 40
3 Black Male 0 0 40
4 Black Female 0 0 40
5 White Female 0 0 40
6 Black Female 0 0 16
7 White Male 0 0 45
8 White Female 14084 0 50
9 White Male 5178 0 40
10 Black Male 0 0 80
11 Asian-Pac-Islander Male 0 0 40
12 White Female 0 0 30
13 Black Male 0 0 50
14 Asian-Pac-Islander Male 0 0 40
15 Amer-Indian-Eskimo Male 0 0 45
16 White Male 0 0 35
17 White Male 0 0 40
18 White Male 0 0 50
19 White Female 0 0 45
20 White Male 0 0 60
21 Black Female 0 0 20
22 Black Male 0 0 40
23 White Male 0 2042 40
24 White Female 0 0 40
25 White Male 0 0 40
26 White Male 0 0 40
27 Asian-Pac-Islander Male 0 0 60
28 White Male 0 0 80
29 White Male 0 0 40
... ... ... ... ... ...
32531 Asian-Pac-Islander Female 0 0 99
32532 White Male 0 0 60
32533 Asian-Pac-Islander Male 0 0 50
32534 White Female 0 0 39
32535 Black Male 0 0 35
32536 White Female 0 0 55
32537 Black Male 0 0 46
32538 Black Female 15020 0 45
32539 White Male 0 0 10
32540 White Female 0 0 40
32541 Black Female 0 0 32
32542 White Male 0 0 25
32543 White Female 0 0 48
32544 Other Female 0 0 30
32545 White Female 0 0 20
32546 White Female 0 0 40
32547 White Male 0 0 40
32548 White Male 1086 0 60
32549 White Female 0 0 40
32550 White Male 0 0 50
32551 Amer-Indian-Eskimo Male 0 0 40
32552 White Male 0 0 45
32553 Asian-Pac-Islander Male 0 0 11
32554 White Male 0 0 40
32555 White Male 0 0 40
32556 White Female 0 0 38
32557 White Male 0 0 40
32558 White Female 0 0 40
32559 White Male 0 0 20
32560 White Female 15024 0 40
native_country Income
0 United-States <=50K
1 United-States <=50K
2 United-States <=50K
3 United-States <=50K
4 Cuba <=50K
5 United-States <=50K
6 Jamaica <=50K
7 United-States >50K
8 United-States >50K
9 United-States >50K
10 United-States >50K
11 India >50K
12 United-States <=50K
13 United-States <=50K
14 ? >50K
15 Mexico <=50K
16 United-States <=50K
17 United-States <=50K
18 United-States <=50K
19 United-States >50K
20 United-States >50K
21 United-States <=50K
22 United-States <=50K
23 United-States <=50K
24 United-States <=50K
25 United-States >50K
26 United-States <=50K
27 South >50K
28 United-States <=50K
29 United-States <=50K
... ... ...
32531 United-States <=50K
32532 United-States >50K
32533 Japan >50K
32534 United-States <=50K
32535 United-States <=50K
32536 United-States >50K
32537 United-States <=50K
32538 United-States >50K
32539 United-States >50K
32540 United-States <=50K
32541 United-States <=50K
32542 United-States <=50K
32543 United-States <=50K
32544 United-States <=50K
32545 United-States >50K
32546 United-States <=50K
32547 Mexico <=50K
32548 United-States <=50K
32549 United-States <=50K
32550 United-States <=50K
32551 United-States <=50K
32552 United-States <=50K
32553 Taiwan <=50K
32554 United-States >50K
32555 United-States <=50K
32556 United-States <=50K
32557 United-States >50K
32558 United-States <=50K
32559 United-States <=50K
32560 United-States >50K
[32561 rows x 15 columns]
2018-05-05 23:08:41,766 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("SocialData")
2018-05-05 23:08:41,766 INFO sqlalchemy.engine.base.Engine ()
2018-05-05 23:08:41,766 INFO sqlalchemy.engine.base.Engine
CREATE TABLE "SocialData" (
"Id" INTEGER NOT NULL,
age INTEGER,
workclass VARCHAR,
fnlwgt INTEGER,
education VARCHAR,
education_num INTEGER,
marital_status VARCHAR,
occupation VARCHAR,
relationship VARCHAR,
race VARCHAR,
sex VARCHAR,
capital_gain INTEGER,
capital_loss INTEGER,
hours_per_week INTEGER,
native_country VARCHAR,
"Income" VARCHAR,
PRIMARY KEY ("Id")
)
2018-05-05 23:08:41,766 INFO sqlalchemy.engine.base.Engine ()
2018-05-05 23:08:41,776 INFO sqlalchemy.engine.base.Engine COMMIT
[{'Id': 0, 'age': 39, 'workclass': 'State-gov', 'fnlwgt': 77516, 'education': 'Bachelors', 'education_num': 13, 'marital_status': 'Never-married', 'occupation': 'Adm-clerical', 'relationship': 'Not-in-family', 'race': 'White', 'sex': 'Male', 'capital_gain': 2174, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 1, 'age': 50, 'workclass': 'Self-emp-not-inc', 'fnlwgt': 83311, 'education': 'Bachelors', 'education_num': 13, 'marital_status': 'Married-civ-spouse', 'occupation': 'Exec-managerial', 'relationship': 'Husband', 'race': 'White', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 13, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 2, 'age': 38, 'workclass': 'Private', 'fnlwgt': 215646, 'education': 'HS-grad', 'education_num': 9, 'marital_status': 'Divorced', 'occupation': 'Handlers-cleaners', 'relationship': 'Not-in-family', 'race': 'White', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 3, 'age': 53, 'workclass': 'Private', 'fnlwgt': 234721, 'education': '11th', 'education_num': 7, 'marital_status': 'Married-civ-spouse', 'occupation': 'Handlers-cleaners', 'relationship': 'Husband', 'race': 'Black', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 4, 'age': 28, 'workclass': 'Private', 'fnlwgt': 338409, 'education': 'Bachelors', 'education_num': 13, 'marital_status': 'Married-civ-spouse', 'occupation': 'Prof-specialty', 'relationship': 'Wife', 'race': 'Black', 'sex': 'Female', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'Cuba', 'Income': '<=50K'}, {'Id': 5, 'age': 37, 'workclass': 'Private', 'fnlwgt': 284582, 'education': 'Masters', 'education_num': 14, 'marital_status': 'Married-civ-spouse', 'occupation': 'Exec-managerial', 'relationship': 'Wife', 'race': 'White', 'sex': 'Female', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 6, 'age': 49, 'workclass': 'Private', 'fnlwgt': 160187, 'education': '9th', 'education_num': 5, 'marital_status': 'Married-spouse-absent', 'occupation': 'Other-service', 'relationship': 'Not-in-family', 'race': 'Black', 'sex': 'Female', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 16, 'native_country': 'Jamaica', 'Income': '<=50K'}, {'Id': 7, 'age': 52, 'workclass': 'Self-emp-not-inc', 'fnlwgt': 209642, 'education': 'HS-grad', 'education_num': 9, 'marital_status': 'Married-civ-spouse', 'occupation': 'Exec-managerial', 'relationship': 'Husband', 'race': 'White', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 45, 'native_country': 'United-States', 'Income': '>50K'}, {'Id': 8, 'age': 31, 'workclass': 'Private', 'fnlwgt': 45781, 'education': 'Masters', 'education_num': 14, 'marital_status': 'Never-married', 'occupation': 'Prof-specialty', 'relationship': 'Not-in-family', 'race': 'White', 'sex': 'Female', 'capital_gain': 14084, 'capital_loss': 0, 'hours_per_week': 50, 'native_country': 'United-States', 'Income': '>50K'}, {'Id': 9, 'age': 42, 'workclass': 'Private', 'fnlwgt': 159449, 'education': 'Bachelors', 'education_num': 13, 'marital_status': 'Married-civ-spouse', 'occupation': 'Exec-managerial', 'relationship': 'Husband', 'race': 'White', 'sex': 'Male', 'capital_gain': 5178, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'United-States', 'Income': '>50K'}, {'Id': 10, 'age': 37, 'workclass': 'Private', 'fnlwgt': 280464, 'education': 'Some-college', 'education_num': 10, 'marital_status': 'Married-civ-spouse', 'occupation': 'Exec-managerial', 'relationship': 'Husband', 'race': 'Black', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 80, 'native_country': 'United-States', 'Income': '>50K'}, {'Id': 11, 'age': 30, 'workclass': 'State-gov', 'fnlwgt': 141297, 'education': 'Bachelors', 'education_num': 13, 'marital_status': 'Married-civ-spouse', 'occupation': 'Prof-specialty', 'relationship': 'Husband', 'race': 'Asian-Pac-Islander', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'India', 'Income': '>50K'}, {'Id': 12, 'age': 23, 'workclass': 'Private', 'fnlwgt': 122272, 'education': 'Bachelors', 'education_num': 13, 'marital_status': 'Never-married', 'occupation': 'Adm-clerical', 'relationship': 'Own-child', 'race': 'White', 'sex': 'Female', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 30, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 13, 'age': 32, 'workclass': 'Private', 'fnlwgt': 205019, 'education': 'Assoc-acdm', 'education_num': 12, 'marital_status': 'Never-married', 'occupation': 'Sales', 'relationship': 'Not-in-family', 'race': 'Black', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 50, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 14, 'age': 40, 'workclass': 'Private', 'fnlwgt': 121772, 'education': 'Assoc-voc', 'education_num': 11, 'marital_status': 'Married-civ-spouse', 'occupation': 'Craft-repair', 'relationship': 'Husband', 'race': 'Asian-Pac-Islander', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': '?', 'Income': '>50K'}, {'Id': 15, 'age': 34, 'workclass': 'Private', 'fnlwgt': 245487, 'education': '7th-8th', 'education_num': 4, 'marital_status': 'Married-civ-spouse', 'occupation': 'Transport-moving', 'relationship': 'Husband', 'race': 'Amer-Indian-Eskimo', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 45, 'native_country': 'Mexico', 'Income': '<=50K'}, {'Id': 16, 'age': 25, 'workclass': 'Self-emp-not-inc', 'fnlwgt': 176756, 'education': 'HS-grad', 'education_num': 9, 'marital_status': 'Never-married', 'occupation': 'Farming-fishing', 'relationship': 'Own-child', 'race': 'White', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 35, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 17, 'age': 32, 'workclass': 'Private', 'fnlwgt': 186824, 'education': 'HS-grad', 'education_num': 9, 'marital_status': 'Never-married', 'occupation': 'Machine-op-inspct', 'relationship': 'Unmarried', 'race': 'White', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 18, 'age': 38, 'workclass': 'Private', 'fnlwgt': 28887, 'education': '11th', 'education_num': 7, 'marital_status': 'Married-civ-spouse', 'occupation': 'Sales', 'relationship': 'Husband', 'race': 'White', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 50, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 19, 'age': 43, 'workclass': 'Self-emp-not-inc', 'fnlwgt': 292175, 'education': 'Masters', 'education_num': 14, 'marital_status': 'Divorced', 'occupation': 'Exec-managerial', 'relationship': 'Unmarried', 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'workclass': 'Private', 'fnlwgt': 25322, 'education': 'Bachelors', 'education_num': 13, 'marital_status': 'Married-spouse-absent', 'occupation': 'Machine-op-inspct', 'relationship': 'Not-in-family', 'race': 'Asian-Pac-Islander', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 2339, 'hours_per_week': 40, 'native_country': '?', 'Income': '<=50K'}, {'Id': 13828, 'age': 31, 'workclass': 'Private', 'fnlwgt': 87950, 'education': 'Assoc-voc', 'education_num': 11, 'marital_status': 'Divorced', 'occupation': 'Sales', 'relationship': 'Not-in-family', 'race': 'Amer-Indian-Eskimo', 'sex': 'Female', 'capital_gain': 0, 'capital_loss': 0, 'hours_per_week': 40, 'native_country': 'United-States', 'Income': '<=50K'}, {'Id': 13829, 'age': 34, 'workclass': 'Private', 'fnlwgt': 150154, 'education': 'HS-grad', 'education_num': 9, 'marital_status': 'Never-married', 'occupation': 'Adm-clerical', 'relationship': 'Own-child', 'race': 'White', 'sex': 'Male', 'capital_gain': 0, 'capital_loss': 0, 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